beam-ai-team/miro-master
skills/integrations/miro/miro-master/SKILL.md
Shared resource library for Miro integration skills. DO NOT load directly - provides common references and scripts used by miro-connect.
development
Updated May 13, 2026
$ install --global
skillsauthnpx skillsauth add beam-ai-team/beam-next-skills miro-masterInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: May 13, 2026, 4:01 AM131.0s21 files scanned
SKILL.md
- name:
- miro-master
- version:
- 1.0
- description:
- Shared resource library for Miro integration skills. DO NOT load directly
- author:
- Mujtaba
- category:
- integrations
- platform:
- Miro
- updated:
- 2026-03-12
- visibility:
- public
Miro Master
This is NOT a user-facing skill. It's a shared resource library referenced by Miro integration skills.
Purpose
Provides shared resources for:
miro-connect- Meta-skill for all Miro operations
Architecture
All scripts use miro_client.py as the shared API client, following the same pattern as the Slack integration.
Authentication
Uses Access Token authentication:
- Token stored in
.envasMIRO_ACCESS_TOKEN - All requests use
Authorization: Bearer {token}header - Token can be obtained from Miro developer settings or via OAuth 2.0
Scripts
Configuration
| Script | Description | |--------|-------------| | check_miro_config.py | Pre-flight validation | | miro_client.py | Shared API client |
Board Operations
| Script | Description | |--------|-------------| | list_boards.py | List accessible boards | | get_board.py | Get board details | | create_board.py | Create new board | | delete_board.py | Delete board | | copy_board.py | Copy board |
Item Operations
| Script | Description | |--------|-------------| | list_items.py | List items on board (filter by type) | | create_sticky_note.py | Create sticky note | | create_card.py | Create card | | create_shape.py | Create shape | | create_text.py | Create text item | | create_frame.py | Create frame / list frame items | | create_connector.py | Create connector / list connectors | | create_image.py | Create image from URL | | create_embed.py | Create embed from URL | | update_item.py | Get, update position, or delete any item |
Collaboration
| Script | Description | |--------|-------------| | board_members.py | List, add, update, remove members | | tags.py | Create, list, attach, detach, delete tags |
API Base URL
All API requests go to: https://api.miro.com/v2/
Rate Limits
Credit-based system per user per application:
- ~2,000 light requests/min
- ~1,000 medium requests/min
- ~200 heavy requests/min
- HTTP 429 when exceeded (check Retry-After header)
Environment Variables
Required in .env:
MIRO_ACCESS_TOKEN=your-access-token
Version: 1.0 Created: 2026-03-12 Status: Production Ready
Related Skills
beam-ai-team/skills/general/taste-skill
development
VerifiedTrustedCommunity
--- name: taste-skill type: skill version: '1.0' author: Leonxlnx (packaged by Zhichao Li) category: general tags: - frontend - design - anti-slop - landing-page updated: '2026-06-11' visibility: public description: Anti-slop frontend skill for landing pages, portfolios, and redesigns. The agent reads the brief, infers the right design direction, and ships interfaces that do not look templated. Real design systems when applicable, audit-first on redesigns, strict pre-flight check. license: MIT.
SKILL.mdUpdated Jun 12, 2026
beam-ai-team/numbers
development
VerifiedTrustedCommunity
Use when communicating quantitative information in any form — Slack updates, emails, reports, decks, dashboards, landing pages, product UI, public talks. Covers two integrated layers: (1) making numbers semantically meaningful (translation, anchoring, simplification, story-pairing) and (2) showing numbers cleanly (chart vs table vs prose, chart-by-message, pre-attentive emphasis, color discipline, decluttering). Distilled and integrated from *Show Me the Numbers* (Stephen Few) and *Make Numbers Count* (Chip Heath & Karla Starr). Not for raw data analysis or statistics — this is about communication of numbers, not their derivation.
SKILL.mdUpdated Jun 12, 2026
beam-ai-team/impeccable
development
VerifiedTrustedCommunity
Use when the user wants to design, redesign, shape, critique, audit, polish, clarify, distill, harden, optimize, adapt, animate, colorize, extract, or otherwise improve a frontend interface. Covers websites, landing pages, dashboards, product UI, app shells, components, forms, settings, onboarding, and empty states. Handles UX review, visual hierarchy, information architecture, cognitive load, accessibility, performance, responsive behavior, theming, anti-patterns, typography, fonts, spacing, layout, alignment, color, motion, micro-interactions, UX copy, error states, edge cases, i18n, and reusable design systems or tokens. Also use for bland designs that need to become bolder or more delightful, loud designs that should become quieter, live browser iteration on UI elements, or ambitious visual effects that should feel technically extraordinary. Not for backend-only or non-UI tasks.
SKILL.mdUpdated Jun 12, 2026
beam-ai-team/beam-teach
tools
VerifiedTrustedCommunity
Stateful multi-session tutor adapted for Beam — teach a stakeholder to understand, trust, and operate a specific agent, or teach a Solution Engineer a client's business process for delivery. Grounds every lesson in Knowledge Hub sources (real agent graphs, real tasks, transcripts, Linear) before any web resource. Also works for any general topic. Trigger on "teach me", "beam teach", "教我", "onboard <person> on <agent>", "help <stakeholder> understand the agent", "learn this client's process".
SKILL.mdUpdated Jun 12, 2026